Earning Criteria

• Professional Data Scientists must have completed formal training in the discipline of Data Science (such as statistics, operations research, machine learning, or econometrics), either through attendance at a taught course, or through self-study, and are required to regularly maintain their skills and knowledge in data science.
• Professional Data Scientists are required to maintain their knowledge of the technology trends and techniques that are relevant to developing solutions for solving business problems.
• Professional Data Scientists are required to maintain an understanding of their client’s business as it pertains to their client’s vertical industry (e.g., telecoms, financial, etc.).
• Professional Data Scientists must have demonstrated experience creating reusable assets (process documentation, libraries, packages, etc.). Five examples are required.
• Professional Data Scientists must make contributions to the Data Scientist profession, for example, publications, teaching, research collaboration, or participation in professional organizations. Mentoring others in their career progression as a Data Scientist is also required.
• This milestone badge is open to all applicants. There is no requirement for any previous qualification.